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VisualizationsDeep Learning for Images

Stacking Convolutional Layers

A 32×32 image passes through one conv layer, then one pooling layer. Conv makes the block deeper, one slice per filter; pooling halves its width and height.

32×32×3
conv
32×32×16
pool
16×16×16

One conv layer widens the block (more filters), and one pooling layer halves its width and height.

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